Performance-related ontologies and semantic web applications for on-line performance assessment of intelligent systems

Semantic Mashups constitute a relatively new genre of applications that illustrate the combination of the current trends of the Web, i.e. the Semantic Web and Web 2.0. The great benefit of Semantic mashups lies in the ability to aggregate different and heterogeneous data with rich semantic annotations and due to this, an additional ease of integration. In this paper, the authors attempt to outline the transition from conventional to semantic mashups, analyzing the former's limitations and identifying improvements and contributions which can come in with the advent of the later. Furthermore, the authors survey the background technologies on which semantic mashups are based, like Semantic Web Services and the process of data triplification. The authors also investigate the current trends and efforts put into developing tools and frameworks, which are designed to support users with little programming knowledge in semantic mashup application development, such as Semantic Pipes or Jigs4OWL. After presenting and illustrating the theoretical and technological background of this genre of mashups, the authors look into some use cases and systems. Among others, the authors present their mashup, called Books@HPClab, in which they introduce a personalized semantic service for mashing up information from different on-line bookstores.

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Service-Oriented Development of Workflow-Based Semantic Reasoning Applications

Mobile Computing and Wireless Networks ◽

10.4018/978-1-4666-8751-6.ch030 ◽

2016 ◽

pp. 687-700

Author(s):

Alexey Cheptsov ◽

Stefan Wesner ◽

Bastian Koller

Keyword(s):

Semantic Web ◽

High Performance ◽

Web Applications ◽

Heterogeneous Data ◽

Multiple Sources ◽

Semantic Reasoning ◽

Service Oriented ◽

Cloud Infrastructures ◽

New Generation ◽

Reasoning Algorithm

The modern Semantic Web scenarios require reasoning algorithms to be flexible, modular, and highly-configurable. A solid approach, followed in the design of the most currently existing reasoners, is not sufficient when dealing with today's challenges of data analysis across multiple sources of heterogeneous data or when the data amount grows to the “Big Data” sizes. The “reasoning as a workflow” concept has attracted a lot of attention in the design of new-generation Semantic Web applications, offering a lot of opportunities to improve both flexibility and scalability of the reasoning process. Considering a single workflow component as a service offers a lot of opportunities for a reasoning algorithm to target a much wider range of potentially enabled Semantic Web use cases by taking benefits of a service-oriented and component-based implementation. We introduce a technique for developing service-oriented Semantic Reasoning applications based on the workflow concept. We also present the Large Knowledge Collider - a software platform for developing workflow-based Semantic Web applications, taking advantages of on-demand high performance computing and cloud infrastructures.

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Linked Data, Towards Realizing the Web of Data

Information Retrieval and Management ◽

10.4018/978-1-5225-5191-1.ch013 ◽

2018 ◽

pp. 292-312

Author(s):

Leila Zemmouchi-Ghomari

Keyword(s):

Semantic Web ◽

Linked Data ◽

Web Applications ◽

Online Data ◽

Web Of Data ◽

Promising Solution ◽

Basic Ideas ◽

Online Sources ◽

Significant Effort ◽

The Web

Data play a central role in the effectiveness and efficiency of web applications, such as the Semantic Web. However, data are distributed across a very large number of online sources, due to which a significant effort is needed to integrate this data for its proper utilization. A promising solution to this issue is the linked data initiative, which is based on four principles related to publishing web data and facilitating interlinked and structured online data rather than the existing web of documents. The basic ideas, techniques, and applications of the linked data initiative are surveyed in this paper. The authors discuss some Linked Data open issues and potential tracks to address these pending questions.

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Explaining Semantic Web Applications

Web Technologies ◽

10.4018/978-1-60566-982-3.ch119 ◽

2011 ◽

pp. 2304-2327

Author(s):

Deborah L. McGuinness ◽

Vasco Furtado ◽

Paulo Pinheiro da Silva ◽

Li Ding ◽

Alyssa Glass ◽

...

Keyword(s):

Semantic Web ◽

Information Extraction ◽

Web Applications ◽

Deductive Reasoning ◽

Learning Systems ◽

Full Potential ◽

Integrated Learning ◽

Integrated Learning Systems ◽

The One

In this chapter, we introduce the concept of explanation for Semantic Web applications by providing motivation, description, and examples. We describe the Inference Web explanation toolkit that provides support for a broad range of explanation tasks ranging from explaining deductive reasoning, to information extraction, to hybrid integrated learning systems. We argue that an explanation solution such as the one we endorse is required if we are to realize the full potential of hybrid, distributed, intelligent Web agents that users can trust and use.

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Web knowledge

Agency and the Semantic Web ◽

10.1093/oso/9780199292486.003.0008 ◽

2006 ◽

Author(s):

Christopher Walton

Keyword(s):

Semantic Web ◽

Knowledge Representation ◽

Knowledge Base ◽

Web Applications ◽

Semantic Network ◽

Knowledge Bases ◽

Web Standards ◽

Description Framework ◽

The Web

In the introductory chapter of this book, we discussed the means by which knowledge can be made available on the Web. That is, the representation of the knowledge in a form by which it can be automatically processed by a computer. To recap, we identified two essential steps that were deemed necessary to achieve this task: 1. We discussed the need to agree on a suitable structure for the knowledge that we wish to represent. This is achieved through the construction of a semantic network, which defines the main concepts of the knowledge, and the relationships between these concepts. We presented an example network that contained the main concepts to differentiate between kinds of cameras. Our network is a conceptualization, or an abstract view of a small part of the world. A conceptualization is defined formally in an ontology, which is in essence a vocabulary for knowledge representation. 2. We discussed the construction of a knowledge base, which is a store of knowledge about a domain in machine-processable form; essentially a database of knowledge. A knowledge base is constructed through the classification of a body of information according to an ontology. The result will be a store of facts and rules that describe the domain. Our example described the classification of different camera features to form a knowledge base. The knowledge base is expressed formally in the language of the ontology over which it is defined. In this chapter we elaborate on these two steps to show how we can define ontologies and knowledge bases specifically for the Web. This will enable us to construct Semantic Web applications that make use of this knowledge. The chapter is devoted to a detailed explanation of the syntax and pragmatics of the RDF, RDFS, and OWL Semantic Web standards. The resource description framework (RDF) is an established standard for knowledge representation on the Web. Taken together with the associated RDF Schema (RDFS) standard, we have a language for representing simple ontologies and knowledge bases on the Web.

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ON-LINE PERFORMANCE ASSESSMENT AND FAULT DIAGNOSIS OF MECHANICAL SYSTEMS

Transactions of the Canadian Society for Mechanical Engineering ◽

10.1139/tcsme-2015-0056 ◽

2015 ◽

Vol 39 (3) ◽

pp. 705-715 ◽

Cited By ~ 1

Author(s):

Shang-Liang Chen ◽

Yin-Ting Cheng ◽

Hsien-Cheng Liu ◽

Yun-Yao Chen

Keyword(s):

Fault Diagnosis ◽

Performance Assessment ◽

Mechanical System ◽

High Speed ◽

Mechanical Performance ◽

Wavelet Packet ◽

Principal Component ◽

Spindle Motor ◽

Diagnostic Model ◽

On Line

This study integrates sensors, signal capture equipment, industrial computers and machinery health check-up software to develop an On-line Performance Assessment and Fault Diagnosis of Mechanical System, helping engineers predict mechanical conditions. Physical quantities captured by the sensors is utilized to process physical signals, and the Wavelet Packet Energy method is used for the feature extraction of non-stationary signals in coordination with the Principal Component Analysis for feature selection. This study establishes On-line Performance Assessment and Fault Diagnosis of Mechanical System based on Discriminant Analysis which is able to immediately determine the mechanical performance. When abnormal mechanical conditions occur, Bayesian Network will be activated to construct error diagnostic model and determine possible causes of error or malfunction of the machinery. Finally, the system is applied to the fan motor, high-speed spindle motor and AC motor of the machine tool. Experimental results show that the theory can effectively diagnose mechanical performance remarkable with an accuracy rate of 92.50% or higher.

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Application of Semantic Web Based on the Domain-Specific Ontology for Global KM

Semantic Web Technologies and E-Business ◽

10.4018/978-1-59904-192-6.ch012 ◽

2007 ◽

pp. 287-309

Author(s):

Jaehun Joo ◽

Sang Lee ◽

Yongil Jeong

Keyword(s):

Knowledge Management ◽

Semantic Web ◽

Web Applications ◽

Web Based ◽

Domain Specific ◽

Promising Area ◽

The Relationship

This chapter introduces an application of the Semantic Web based on ontology to the tourism business. Tourism business is one promising area for Semantic Web applications. To realize the potential of the Semantic Web, we need to find a killer application of the Semantic Web in the knowledge management (KM) area. The ontology as a key enabler is deigned and implemented under a framework of the Semantic-Web-driven KM system in a tourism domain. Finally, we discussed the relationship between the Semantic Web and KM processes.

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